From 37e580054baba09936ec058999160756ab8556f3 Mon Sep 17 00:00:00 2001 From: Will Tai Date: Thu, 4 Apr 2024 15:59:54 +0100 Subject: [PATCH] OpenAI embedding used --- examples/openai_search.py | 54 ++++ poetry.lock | 602 +++++++++++++++++++++++++++++++++++++- pyproject.toml | 3 +- 3 files changed, 653 insertions(+), 6 deletions(-) create mode 100644 examples/openai_search.py diff --git a/examples/openai_search.py b/examples/openai_search.py new file mode 100644 index 000000000..39ff39bf4 --- /dev/null +++ b/examples/openai_search.py @@ -0,0 +1,54 @@ +from typing import List +from neo4j import GraphDatabase +from neo4j_genai import VectorRetriever + +from random import random +from neo4j_genai.indexes import create_vector_index, drop_vector_index + +import os +from langchain_openai import OpenAIEmbeddings + +URI = "neo4j://localhost:7687" +AUTH = ("neo4j", "password") + +INDEX_NAME = "embedding-name-large" +DIMENSION = 3072 + +# Connect to Neo4j database +driver = GraphDatabase.driver(URI, auth=AUTH) + + +# Create Embedder object +embedder = OpenAIEmbeddings(model="text-embedding-3-large") + +# Initialize the retriever +retriever = VectorRetriever(driver, embedder) + +drop_vector_index(driver, INDEX_NAME) + +# Creating the index +create_vector_index( + driver, + INDEX_NAME, + label="Document", + property="propertyKey", + dimensions=DIMENSION, + similarity_fn="cosine", +) + +# Upsert the query +vector = [random() for _ in range(DIMENSION)] +insert_query = ( + "MERGE (n:Document)" + "WITH n " + "CALL db.create.setNodeVectorProperty(n, 'propertyKey', $vector)" + "RETURN n" +) +parameters = { + "vector": vector, +} +driver.execute_query(insert_query, parameters) + +# Perform the similarity search for a text query +query_text = "hello world" +print(retriever.search(INDEX_NAME, query_text=query_text, top_k=5)) diff --git a/poetry.lock b/poetry.lock index 813c5c70d..eef4f4cda 100644 --- a/poetry.lock +++ b/poetry.lock @@ -14,6 +14,28 @@ files = [ [package.dependencies] typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} +[[package]] +name = "anyio" +version = "4.3.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +files = [ + {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, + {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" +typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} + +[package.extras] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] + [[package]] name = "astroid" version = "3.1.0" @@ -28,6 +50,17 @@ files = [ [package.dependencies] typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} +[[package]] +name = "certifi" +version = "2024.2.2" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, + {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, +] + [[package]] name = "cfgv" version = "3.4.0" @@ -39,6 +72,105 @@ files = [ {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, ] +[[package]] +name = "charset-normalizer" +version = "3.3.2" +description = "The Real First Universal Charset Detector. 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